/*
 * This file is part of the UEA Time Series Machine Learning (TSML) toolbox.
 *
 * The UEA TSML toolbox is free software: you can redistribute it and/or 
 * modify it under the terms of the GNU General Public License as published 
 * by the Free Software Foundation, either version 3 of the License, or 
 * (at your option) any later version.
 *
 * The UEA TSML toolbox is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License along
 * with the UEA TSML toolbox. If not, see <https://www.gnu.org/licenses/>.
 */
 

/*
 * Created on Jan 30, 2006
 *
 * TODO To change the template for this generated file go to
 * Window - Preferences - Java - Code Style - Code Templates
 */
package statistics.transformations;

import weka.core.Instances;

/**
 * @author ajb
 *
 * TODO To change the template for this generated type comment go to
 * Window - Preferences - Java - Code Style - Code Templates
 */
public class EmptyTransform extends Transformations {

	public Instances transform(Instances data) {
		return data;
	}

	public Instances invert(Instances data) {
		return data;
	}
	public Instances staticTransform(Instances data) {
		return data;
	}
	public double[] invertPredictedResponse(double[] d) {
		return d;
	}

	public static void main(String[] args) {
	}
}
